Site Reliability Engineer

Company Description

Dice is the leading career destination for tech experts at every stage of their careers.

Job Description

Site Reliability Engineer

Must Have Technical/Functional Skills

• Experience in Cloud platforms (AWS, Azure, Google Cloud) and hybrid environments.
• Proficiency in container technologies (Docker, Container, Podman).
• Strong knowledge of Linux administration and networking concepts.
• Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, Helm, or Pulumi.
• Monitoring and logging expertise using Prometheus, Grafana, ELK, Datadog, or Splunk.
• Hands-on experience with CI/CD pipelines and DevOps tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD).
• Proficiency in scripting/programming (Python, Bash, Go) for automation.
• Strong troubleshooting and incident management skills.

Roles & Responsibilities

We are seeking a highly skilled - Site Reliability Engineer (SRE) to manage, optimize, and ensure the reliability of infrastructure. The ideal candidate will have deep expertise in ELK, Dynatrace Pagerduty. Powershell, container orchestration, cloud infrastructure, and automation, along with a strong focus on reliability, scalability, and performance.

• Reliability & Performance: Implement best practices to ensure high availability, scalability, and performance of containerized applications.
• Monitoring & Incident Response: Set up monitoring (Prometheus, Grafana, ELK, Dynatrace, Pagerduty, Powershell etc.), troubleshoot issues, and lead incident resolution.
• Automation & Infrastructure as Code (IaC): Develop and maintain Terraform, Helm charts, and Kubernetes manifests for automation.
• CI/CD & DevOps Integration: Work with DevOps teams to optimize CI/CD pipelines for Kubernetes deployments (Jenkins, ArgoCD, FluxCD, etc.).
• Security & Compliance: Implement security best practices for containerized workloads, RBAC, network policies, and vulnerability scanning.
• Capacity Planning & Optimization: Analyze resource usage and optimize infrastructure costs and performance.
• Disaster Recovery & Backup: Implement backup and disaster recovery strategies for Kubernetes workloads.